Support vector machine classification on the web

Paul Pavlidis, Ilan Wapinski and William Stafford Noble

Bioinformatics. 20(4):586-587, 2004.

Abstract

The support vector machine learning algorithm has been widely applied
in bioinformatics. We have developed a simple web interface to our
implementation of the SVM algorithm, called Gist. This
interface allows novice or occasional users to easily apply a
sophisticated machine learning algorithm to their data. More advanced
users can download the software and source code for local
installation. The availability of these tools will permit more
widespread application of this powerful learning algorithm in
bioinformatics.